• 한국농공학회:학술대회논문집
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• 한국농공학회 2000년도 학술발표회 발표논문집
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• pp.239-245
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• 2000

This study is aimed to develop the historical data management system named "ACON"(Actual COst Network system) which can be used for collecting, analysis and modification of the historical data. ACON_Local is used for collecting the historical data at each spot place. It redueces the work potential of managers, spending time and cost. ACON_Analysis is to analyze the collection , modifies the data′s error and updates the historical database. ACON_Network is developed to transfer data from ACON to Web server or opposites. The proposed model, ACON, provide the easy way for the cost estimate system, "HiCOMS" to collect, analyze and modify the historical cost evaluated data, which is used to compose the historical data base.

• 산업경영시스템학회지
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• 제33권3호
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• pp.55-62
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• 2010

Currently, cost estimation is very important to the government acquisition programs to support decisions about funding and to evaluate resource requirement as key decision points. Parametric cost estimating models have been used extensively to obtain appropriate cost estimates in early acquisition phase. However, they have many restrictions to ensure the cost estimating result in Korean defense environment because they are developed in the U.S.A. environment. In order to obtain a good R&D cost estimate, developing our own CERs (Cost Estimation Relationships) using historical R&D data is essential. Nevertheless, there has been little research to develop our own CERs. In this research, we established a CER development process and found some cost drivers in the historical movement weapon system R&D data. The R&D CER is developed using the PCR(Principle Component Regression) method to remove multicollinearity among data and to overcome the restriction of the insufficient number of sample. At least, this research is meaningful as a first attempt in terms of defining the CER development process and obtaining our own R&D CER based on the historical data in Korean weapon system R&D environment.

• 한국건축시공학회지
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• 제5권1호
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• pp.111-121
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• 2005

This study purposed to derive a model to estimate appropriate construction costs for the application of the estimation system based on historical construction data. For this purpose, it analyzed data ($1999\sim2004$) on the construction costs of reinforced concrete apartments (Long-Lamina-type apartments), which have been highly standardized and have a lot of relevant objective data using statistical analysis techniques and developed an estimation model.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.77-81
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• 2015

The unit price contracting is the standard contracting method for highway projects in the U.S. As a result, state highway agencies have collected a large amount of historical bid data that they can use to determine engineer's estimates for future projects. The estimator must carefully consider various characteristics of a new project such as its location to determine an engineer's estimate as accurate as possible before bid letting. Higher cost estimates can result in the loss of the available budget and lower cost estimates may lead to deferral and delay of projects. The study uses the historical bid data obtained from Iowa Department of Transportation and develops a Geographic Information System (GIS) tool to visually show the variation of unit prices over the map using a spatial interpolation technique. The interpolation map can be used to estimate the unit price of the item at any location across Iowa. This noble method allows the estimator to effectively and fully utilize the historical bid data in a very time efficient manner and determine more accurate cost estimation.

• 한국국방경영분석학회지
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• 제25권2호
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• pp.44-61
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• 1999

Cost estimation has posed a significant challenge to estimators, planners, and managers in both government and military. Considerable historical evidence shows that accurate cost estimation has been difficult to achieve across a wide range of projects, including weapon systems. This paper introduces new cost estimating concept, CAIV(Cost As an Independent Variable) and a cost estimating case study using PRICE model, computer aided parametric estimating models(CAPE) for K1 tank cost estimate. CAIV concept is to set realistic but aggressive cost objectives easily in each acquisition program and to achieve cost, schedule, and performance objectives considering various managing risks with a project manager and industry teams. The Price model is one of computer aided cost estimating models and widely used in U.S. defense system analysis as a tool for CAIV. We analyze theories, inputs, outputs of the PRICE model and present a case study for K1 tank to estimate costs in requirement and concept phase, program and budgeting phase, and life cycle phase. Finally we obtain results that the Price model can be used in various phases of PPBEES depending upon available data and time.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.908-912
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• 2005

Construction Cost Indices are values for measuring fluctuations in direct construction costs which include material costs, labor costs, and equipment costs for construction operations. In Korea, Korea Institute of Construction Technology (KICT) has been assessing and announcing these indices since January, 2004. The main goals of this paper are to look over the calculation process for those indices and then present the trend in construction costs according to the types of facilities with the past construction cost index data. Also, this paper traces the origin of the occurrence of significant changes on those indices through the further analysis of the trend. In addition, this paper shows the practicality of the indices and the way how to put them to practical use. An alternative estimate method using the indices is suggested for compensating the changes of construction costs caused by price fluctuations.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2008년도 추계 학술논문 발표대회
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• pp.159-165
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• 2008

For deciding the profitability and feasibility of the construction project, the schematic estimation has to not only link the design decision-making but also estimate the cost with reliability. The Object-based schematic estimation system was developed for easily linking with design-making and supports to evaluate the design alternatives in the design development stage but didn't consider the cost estimated by object supplementary and parameter work item. This research presents the Integrated Object-Parameter Schematic Estimation Model in the design development stage that can lead to more accurately estimate the cost through analyzing historical data from the high-storied office buildings. For the development of the proposed model for schematic estimation, after analyzing and classifying the work items from the Bills of Quantities(BOQs) and drawings of historical data, this research proposed the methods of estimating cost in accordance with attributes of each work item using regression analysis. In addition, a case study is performed for the effectiveness as comparing the proposed model with the previous estimating model.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.176-181
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• 2011

A role of cost modeler is that of facilitating design process by the systematic application of cost factors so as to maintain sensible and economic relationships between cost, quantity, utility and appearance. These relationships help to achieve the client's requirements within an agreed budget. The purpose of this study is to develop a parametric cost estimating model for the early design stage by using the multi-dimensional system of OLAP (On-line Analytical Processing) based on the case of quantity data related to architectural design features. The parametric cost estimating models have been adopted to support decision making in the early design stage. These models typically use a similar instance or a pattern of historical case. In order to effectively use this type of data model, it is required to set data classification and prediction methods. One of the methods is to find the similar class in line with attribute selection measure in the multi-dimensional data model. Therefore, this research is to analyze the relevance attribute influenced by architectural design features with the subject of case-based quantity data used for the parametric cost estimating model. The relevance attributes can be analyzed by Analytical Characterization. It helps determine what attributes to be included in the OLAP multi-dimension.

• 한국건설관리학회논문집
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• 제9권6호
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• pp.175-184
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• 2008

건설 프로젝트의 수익성 및 타당성을 판단하기 위한 기준으로 설계초기단계에 활용되는 개산견적은 설계의사결정 업무와 밀접한 연계성을 가지고 수행되어야 할 뿐만 아니라, 정확하고 신뢰성 있는 견적결과를 도출해야 한다. 설계초기단계에서 설계자의 의사결정 지원과 설계변경에 대한 즉각적인 대처를 위해 프로토타입기반 개산견적 시스템이 개발되었지만, 파라미터에 의해 산정되는 공사항목 및 사용자에 의한 추가공사에 대한 공사비 고려가 미흡하였다. 따라서 본 연구에서는 견적의 정확도를 향상시키기 위해 실제 고층 오피스 빌딩 프로젝트의 실적자료 분석을 통해 기본설계단계에서 오브젝트-파라미터기반 건축마감공사비 산정 모델(Object & Parameter based Schematic Estimation Model, OPSEM)을 개발하였다. 모델 개발을 위해 공사비 내역서, 도면으로부터 얻은 작업항목에 대한 정보를 분석 및 분류하고, 각 작업항목 속성에 맞는 공사비 산정 방식을 제안하였다. 본 연구의 실무 효용성 검증을 위해 유사 사례 프로젝트를 바탕으로 기존의 견적방식과 제시된 모델을 활용한 견적방식의 오차율을 분석하여 정확도 비교를 실시하였다.

• 한국산학기술학회논문지
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• 제17권11호
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• pp.128-134
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• 2016

교량관리시스템(Bridge Management System, BMS)을 활용한 교량의 생애주기 관리를 위해서는 교량의 부재별 보수보강 비용 산정이 필수적이다. 본 연구에서는 BMS에 적용 가능한 체계적인 유지관리 비용 모델의 개발을 위하여 교량을 구성하는 대표 부재를 정의하고, 대표 부재별 세부 및 대표 보수보강 공법을 도출하였다. 세부 보수보강 공법별 단가를 산정하기 위해 표준 품셈과 실적 공사비를 이용해 각 세부 보수보강 공법별 일위대가를 구성하고, 적산 프로그램을 활용하여 보수보강 단가의 갱신이 용이하도록 체계적인 절차를 제시하였다. 또한 세부 보수보강 공법별 단가와 적용 빈도를 고려해 가중 평균 형태로 대표 보수보강 공법의 평균 단가를 산정하였다. 도출된 평균 단가를 기존의 실적 비용 단가와 비교 검증하여 적정성을 검토하였다. 제안된 평균 보수보강 비용 단가는 교량 유지관리 계획 수립 단계에서 요구 예산의 타당성을 검증하거나 보수보강 실적 비용의 적정성을 검토하는 데 활용될 수 있다. 본 연구를 통해 유지관리 비용 정보의 신뢰도와 의사결정의 합리성을 증진시킬 수 있을 것으로 판단된다.